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, linked to major study cohorts such as the LLS and LifeLines. The ultimate goal is to gain insight into how socioeconomic resources, such as income, education, and social networks, cluster within families
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Systems (IRIS) cluster at the Mathematics and Computer Science department. The research topic will be tailored to your research interests. The project offers collaboration with industrial partners
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performance of subsurface hydrogen storage. Analyse the simulation results to identify clusters of typical reservoir behaviours and link these clusters back to geological properties to understand (i) how we can
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clusters of typical reservoir behaviours and link these clusters back to geological properties to understand (i) how we can engineer the reservoir to maximise the performance of cyclic hydrogen storage and
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research. You work will take place within the Interconnected Resource-aware Intelligent Systems (IRIS) cluster at the Mathematics and Computer Science department. The research topic will be tailored to your
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Employment 0.8 - 1.0 FTE Gross monthly salary € 4,728 - € 6,433 Required background PhD Organizational unit Faculty of Social Sciences Application deadline 16 November 2025 Apply now Join the Work
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this project is how to effectively prioritize the millions of unknown biosynthetic gene clusters and metabolite features for the discovery of new antimicrobials through predicting structural and functional
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techniques (e.g., machine learning, cluster analysis) to answer specific research questions based on available data as a basis for the execution of the dietary intervention trials Ability to apply machine
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the supervision of PhD and MSc students and collaborate with (health) tech partners, Report on the results in project deliverables, papers and conference contributions. As the VICI-project had a successful mid-term
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background in data sciences we ask: Insights in the most suitable data science techniques (e.g., machine learning, cluster analysis) to answer specific research questions based on available data as a basis for